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Come join Microsoft Office AI team to work on state-of-the-art services, AI solutions, platforms, distributed systems, and modern technology to deliver the next generation of intelligent productivity experiences used by hundreds of millions of users daily! We are looking for Senior Software Engineer who can help us further grow our products, business, and culture! As a Senior Software Engineer in the Office AI team, you will help lead the evolution of Office productivity through AI-driven experiences (such as Microsoft Copilot) across key applications. The team builds the core platforms and experiences that bring large language models (LLMs) and real-time intelligence into Office applications, combining the power of LLMs with enterprise data and native integration to streamline content creation, navigation and comprehension. We are looking for a creative Senior Software Engineer who will collaborate with software engineers, researchers, and product managers to express product needs as well-defined machine learning problems, push the state of the art in LLMs and bring prototypes all the way to planet scale production. You’ll build the engineering that makes AI work in production: you will build APIs, platforms and services around AI features; design data pipelines and feedback loops; deploy and finetune state of the art deep learning models; orchestrate prompts and tools; and monitor AI specific signals - such as drift, hallucinations, safety and cost - alongside traditional service reliability metrics.
Job Responsibility:
Design and implement scalable, reliable, and secure AI services on Azure, optimizing performance, cost and compliance
Apply knowledge of generative AI, large language models, and modern frameworks to develop intelligent features and automation within the service
Participate actively in code reviews, bug/issue triage with the feature teams, and support well informed decisions towards business and engineering goals
Contribute to fixing, enhancing, and supporting our services in production, including periodic on-call duties where necessary
Drive features, projects, and open-ended problems towards resolution
Take initiative to identify and fix bottlenecks, proactively come up with the proposals for further improvements of the system, process and owned product
Provide mentorship, technical guidance, and peer coaching to other engineers, fostering a culture of innovation, continuous learning, and inclusion
Encourage best practices in code quality, security and responsible AI while elevating the skills of fellow team members
Work with international teams within Microsoft
Requirements:
Bachelor's Degree in Computer Science OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, Typescript, C#, Java, JavaScript, or Python
OR equivalent experience
Distributed systems and cloud scale, proven ability to design, implement and operate scalable, fault-tolerant microservices and distributed storage on cloud platforms such as Azure
experience building APIs and services, designing data pipelines and feedback loops, and implementing secure, compliant solutions
AI and machine learning mastery, hands-on experience with state-of-the-art generative AI and ML frameworks and deep understanding of large language models, embeddings, prompt engineering and model fine-tuning
Technical leadership, demonstrated experience leading complex initiatives from concept to production, mentoring engineers, and driving technical decision-making while working with cross-functional teams
Security and compliance, ability to meet Microsoft’s and customers’ security and background requirements and to ensure that solutions adhere to responsible AI and data privacy standards
Demonstrated passion for mentoring, fostering an inclusive team culture, and collaborating closely with product, research and design partners to drive strategy and deliver user value